2018/06/19 by Rahul Yedida, Yedida, Rahul, Rahul Reddy +9
Business, Management and Accounting · Computer Science · Health Professions · #AI and HR Technologies #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Occupational Health and Safety Research
paper · pdf · doi:10.48550/arxiv.1806.10480
openalex publication_date 2018/06/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We aim to predict whether an employee of a company will leave or not, using the k-Nearest Neighbors algorithm. We use evaluation of employee performance, average monthly hours at work and number of years spent in the company, among others, as our features. Other approaches to this problem include the use of ANNs, decision trees and logistic regression. The dataset was split, using 70% for training the algorithm and 30% for testing it, achieving an accuracy of 94.32%.